MétaCan
Menu
Back to cohort
Record W3112370274 · doi:10.23889/ijpds.v5i5.1474

The Association Between Mode of Delivery and Later Educational Outcomes

2020· article· en· W3112370274 on OpenAlexaffabout
Alan Katz, Kathi Avery Kinew, Leona Star, Carole Taylor, Ina Koseva

Bibliographic record

VenueInternational Journal for Population Data Science · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsFirst Nations Health and Social Secretariat of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsContext (archaeology)MedicineMedical prescriptionHealth careCommissionPopulationCorporate governanceDemographyPolitical scienceEnvironmental healthEconomic growthGeographyNursingSociologyBusinessEconomics

Abstract

fetched live from OpenAlex

IntroductionA 2002 report described the gap in health status between First Nations (FN) and all other Manitobans (AOM). That report was widely quoted in the context of other initiatives recognizing the inequities in Canadian society.
 Objectives and ApproachWe analyzed linked administrative data held in the Manitoba Population Research Data Repository to determine the health status and health care use of First Nations people. To provide context to the findings we compared First Nations to all other Manitobans, disaggregated by on-reserve off-reserve status, and presented our findings by Region and Tribal Council area. The 35 indicators were chosen to address First Nations priorities and providecomparisons with the previous study. Results were age and sex adjusted.
 ResultsThe gap between FN and AOM has grown. Premature mortality rates are 3x higher for FN compared to AOM. Rates of death by suicides and suicide attempts are 5x higher for FN compared to AOM. Rates of opioid prescribing are 2.5x higher for single prescription, and 4.5x higher for multiple prescriptions for FN compared to AOM. Colorectal cancer screening rates are 2x higher among all other Manitobans compared to FN. Continuity of care is much lower in FN than in AOM. For FN, primary care is less likely to be provided close to home than for AOM
 Conclusion / ImplicationsDespite initiatives like the Truth and Reconciliation Commission, and Indian Residential School survivors pursuing healing, the gap in health outcomes has increased. Underlying causes such as ongoing systemic racism and colonialism within health governance should be addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.146
GPT teacher head0.519
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal for Population Data ScienceSame topicPrimary Care and Health OutcomesFrench-language works237,207